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Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar

, , , , , , , , , , and . IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, (2020)
DOI: 10.1109/cvpr42600.2020.00214

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Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar., , , , , , , , , and 1 other author(s). CVPR, page 2065-2074. Computer Vision Foundation / IEEE, (2020)The AWAKE Run 2 Programme and Beyond., , , , , , , , , and 92 other author(s). Symmetry, 14 (8): 1680 (2022)The Radar Ghost Dataset - An Evaluation of Ghost Objects in Automotive Radar Data., , , and . IROS, page 8570-8577. IEEE, (2021)Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather., , , , , , and . CVPR, page 11679-11689. Computer Vision Foundation / IEEE, (2020)Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar., , , , , , , , , and 1 other author(s). CoRR, (2019)Object Detection For Automotive Radar Point Clouds -- A Comparison, , , , and . AI Perspectives, 3 (1): 6 (2021)From Pattern Invocation Networks to Rule Preconditions., , , and . ICGT, volume 11629 of Lecture Notes in Computer Science, page 195-211. Springer, (2019)FPGA-based acceleration of high density myoelectric signal processing., , , , , and . ReConFig, page 1-8. IEEE, (2015)PLM 4.0 - Recalibrating Product Development and Management for the Era of Internet of Everything (IoE)., , , and . PLM, volume 517 of IFIP Advances in Information and Communication Technology, page 81-91. Springer, (2017)Zynq-based acceleration of robust high density myoelectric signal processing., , , , , and . J. Parallel Distributed Comput., (2019)